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Exploiting Temporal Coherence to Improve Person Re-identification

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Pattern Recognition Applications and Methods (ICPRAM 2021, ICPRAM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13822))

Abstract

The uncontrolled characteristics of long-term scenarios, like ultra-running competitions, are challenging for person re-identification approaches based on computer vision methods. State-of-the-art techniques have reported hardly moderate success for whole-body runner re-identification due to the existence of distinct illumination conditions, as well as changes of clothing and/or accessories like backpacks, caps, and sunglasses. This paper explores integrating these biometric cues with the particular spatio-temporal context information present in the competition live track system. Our results confirm the significance of this strategy to limit the gallery size and boost re-identification performance.

This work is partially funded by the ULPGC under project ULPGC2018-08, by the Spanish Ministry of Economy and Competitiveness (MINECO) under project RTI2018-093337-B-I00, by the Spanish Ministry of Science and Innovation under projects PID2019-107228RB-I00 and PID2021-122402OB-C22, and by the ACIISI-Gobierno de Canarias and European FEDER funds under projects ProID2020010024, ProID2021010012, ULPGC Facilities Net, and Grant EIS 2021 04.

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Acknowledgements

We would like to thank Arista Eventos SLU and Carlos Díaz Recio for granting us the use of Transgrancanaria media. We would also like to thank the volunteers and researchers who have taken part in the data collection and annotation, as well as the previous papers of this project.

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Authors and Affiliations

  1. SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Oliverio J. Santana, Javier Lorenzo-Navarro, David Freire-Obregón, Daniel Hernández-Sosa, José Isern-González & Modesto Castrillón-Santana

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  1. Oliverio J. Santana
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  2. Javier Lorenzo-Navarro
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  3. David Freire-Obregón
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  4. Daniel Hernández-Sosa
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  5. José Isern-González
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  6. Modesto Castrillón-Santana
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Corresponding author

Correspondence to Oliverio J. Santana .

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Editors and Affiliations

  1. Sapienza Università di Roma, Rome, Italy

    Maria De Marsico

  2. ICAR, Consiglio Nazionale delle Ricerche, Naples, Napoli, Italy

    Gabriella Sanniti di Baja

  3. IST - Torre Norte, Instituto de Telecomunicações, Lisbon, Portugal

    Ana Fred

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Santana, O.J., Lorenzo-Navarro, J., Freire-Obregón, D., Hernández-Sosa, D., Isern-González, J., Castrillón-Santana, M. (2023). Exploiting Temporal Coherence to Improve Person Re-identification. In: De Marsico, M., Sanniti di Baja, G., Fred, A. (eds) Pattern Recognition Applications and Methods. ICPRAM ICPRAM 2021 2022. Lecture Notes in Computer Science, vol 13822. Springer, Cham. https://doi.org/10.1007/978-3-031-24538-1_7

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  • DOI: https://doi.org/10.1007/978-3-031-24538-1_7

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